(中南工業(yè)大學(xué)應(yīng)用物理與熱能工程系， 長沙 410083)
摘 要: 介紹了渣貧化電爐生產(chǎn)過程智能決策支持系統(tǒng)(IDSS)的結(jié)構(gòu)和功能，論述了 以模糊決策規(guī)則為基礎(chǔ)的知識(shí)庫和模型庫。該系統(tǒng)具有自學(xué)習(xí)和自適應(yīng)功能。仿真結(jié) 果表明，用該系統(tǒng)優(yōu)化出的操作參數(shù)指導(dǎo)生產(chǎn)可有效降低單位產(chǎn)品的能耗和有價(jià)金屬的隨渣損失，獲得良好的生產(chǎn)指標(biāo)。
關(guān)鍵字: 電爐 節(jié)能 優(yōu)化 決策
（Department of Applied Physics and Heat Engineering,
Central South University of Technology, Changsha 410083）
Abstract:The structure and function of an intelligent decision support system(IDSS) were introduced for the process of slag cleaning furnace. The knowledge-base and model-base, based on fuzzy decision rules, were specially presented. Simulation results showed that the IDSS has ability of self-learning and self-adapting and can be applied to process decision to decrease the metal loss in slag and the power consumption.
Key words: electric furnace energy saving optimization decision
